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Rebuilding long time series global soil moisture products using the neural network adopting the microwave vegetation index (Correction)

hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
dc.contributor.authorYAO, Panpan
hal.structure.identifierState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
dc.contributor.authorSHI, Jiancheng
hal.structure.identifierState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
dc.contributor.authorZHAO, Tianjie
hal.structure.identifierThe Joint Center for Global Change Studies
dc.contributor.authorLU, Hui
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL YAARI, Amen
dc.date.accessioned2024-04-08T12:06:52Z
dc.date.available2024-04-08T12:06:52Z
dc.date.issued2017
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196431
dc.description.abstractEnRebuilding long time series global soil moisture products using the neural network adopting the microwave vegetation index (Correction)
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by-sa/
dc.subjecttélédétection
dc.subjectindice de végétation
dc.subjectanalyse de données
dc.subjectradiomètre
dc.subject.endata analysis
dc.subject.enradiometer
dc.subject.enremote sensing
dc.title.enRebuilding long time series global soil moisture products using the neural network adopting the microwave vegetation index (Correction)
dc.typeArticle de revue
dc.identifier.doi10.3390/rs9080849
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalRemote Sensing
bordeaux.page1 p.
bordeaux.volume9
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue8
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-01607067
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01607067v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2017&rft.volume=9&rft.issue=8&rft.spage=1%20p.&rft.epage=1%20p.&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=YAO,%20Panpan&SHI,%20Jiancheng&ZHAO,%20Tianjie&LU,%20Hui&AL%20YAARI,%20Amen&rft.genre=article


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